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markets  

Estimation Methods for Markets in Equilibrium and Disequilibrium
View on CRAN: Click here


Download and install markets package within the R console
Install from CRAN:
install.packages("markets")

Install from Github:
library("remotes")
install_github("cran/markets")

Install by package version:
library("remotes")
install_version("markets", "1.1.5")



Attach the package and use:
library("markets")
Maintained by
Pantelis Karapanagiotis
[Scholar Profile | Author Map]
First Published: 2022-05-18
Latest Update: 2023-01-06
Description:
Provides estimation methods for markets in equilibrium and disequilibrium. Supports the estimation of an equilibrium and four disequilibrium models with both correlated and independent shocks. Also provides post-estimation analysis tools, such as aggregation, marginal effect, and shortage calculations. See Karapanagiotis (2024) for an overview of the functionality and examples. The estimation methods are based on full information maximum likelihood techniques given in Maddala and Nelson (1974) . They are implemented using the analytic derivative expressions calculated in Karapanagiotis (2020) . Standard errors can be estimated by adjusting for heteroscedasticity or clustering. The equilibrium estimation constitutes a case of a system of linear, simultaneous equations. Instead, the disequilibrium models replace the market-clearing condition with a non-linear, short-side rule and allow for different specifications of price dynamics.
How to cite:
Pantelis Karapanagiotis (2022). markets: Estimation Methods for Markets in Equilibrium and Disequilibrium. R package version 1.1.5, https://cran.r-project.org/web/packages/markets. Accessed 11 May. 2025.
Previous versions and publish date:
1.0.2 (2022-05-18 21:10), 1.0.3 (2022-06-03 10:30), 1.0.6 (2022-07-06 00:30), 1.1.0 (2022-07-11 10:00), 1.1.2 (2022-09-08 19:22), 1.1.3 (2022-12-22 12:00), 1.1.4 (2023-01-06 01:50)
Other packages that cited markets R package
View markets citation profile
Other R packages that markets depends, imports, suggests or enhances
Complete documentation for markets
Functions, R codes and Examples using the markets R package
Some associated functions: coef . equation_classes . estimate . formula-market_model-method . houses . logLik . marginal_effects . market_aggregation . market_descriptives . market_fit-class . market_models . market_quantities . market_simulation . markets . model_description . model_initialization . model_likelihoods . model_logger-class . ncoef . nobs . plot . shortage_analysis . show . single_call_estimation . summary . system_classes . variable_names . vcov . 
Some associated R codes: data.R . diseq_basic.R . diseq_deterministic_adjustment.R . diseq_directional.R . diseq_stochastic_adjustment.R . disequilibrium_model.R . equation_base.R . equation_basic.R . equation_deterministic_adjustment.R . equation_directional.R . equation_stochastic_adjustment.R . equilibrium_model.R . gradient_basic.R . gradient_deterministic_adjustment.R . gradient_directional.R . gradient_equilibrium.R . gradient_stochastic_adjustment.R . hessian_basic.R . hessian_directional.R . likelihood_basic.R . likelihood_deterministic_adjustment.R . likelihood_directional.R . likelihood_equilibrium.R . likelihood_stochastic_adjustment.R . market_fit.R . market_model.R . markets.R . model_logger.R . model_simulation.R . system_base.R . system_basic.R . system_deterministic_adjustment.R . system_directional.R . system_equilibrium.R . system_stochastic_adjustment.R .  Full markets package functions and examples
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